scholarly journals Japanese Consumer Preference For Raw Fish: Best–Worst Scaling Method

2022 ◽  
Vol 29 (6) ◽  
pp. 808-816
Author(s):  
Takahiro Sajiki ◽  
Yu-Heng Lu
2016 ◽  
Vol 3 (1) ◽  
pp. 1199110 ◽  
Author(s):  
Shehely Parvin ◽  
Paul Wang ◽  
Jashim Uddin ◽  
Len Tiu Wright

2019 ◽  
Vol 31 (1) ◽  
pp. 223-245 ◽  
Author(s):  
Luis Pinto ◽  
Erdener Kaynak ◽  
Clement S.F. Chow ◽  
Lida L. Zhang

Purpose The number of studies on the use of choice cues in the purchase decision of a smartphone does not appear to be extensive, given the size and rate of growth of the market. Surprisingly, it appears that no study of this type in the Chinese context has been undertaken. Therefore, the purpose of this paper is to fill the existing gap in the marketing literature in this area. Design/methodology/approach Best–Worst (BW) scaling method was used in the study. It is suggested that the method overcomes some of the biases commonly found in surveys where Likert-type scales are used, and it has superior discriminating power, because respondents are asked to rank the most and the least important factor from a group, and are thereby forced to make tradeoffs between factors. Findings Among the 13 choice cues, connectivity, price and memory capacity are found to be the most important, whereas recommendation from others, ease of handling and availability of apps are found to be the least important. Findings due to gender, income and age difference were also analyzed and discussed for orderly decision-making purposes. Practical implications The ranking of factors showing what choice cues consumers consider most or least important in a particular market helps practitioners to develop appropriate adaptation strategies for the market. The comparison of findings for gender, income and age difference can further help practitioners to devise various alternative marketing strategies for different market segments and identify underserved segments, if any. Originality/value The BW scaling method, however, appropriate in ranking order of importance, had never been used in ranking choice cues of smartphone purchase. Moreover, there seems to be a dearth of studies about ranking of choice cues on smartphone purchases in the Chinese context.


2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Vimbai R. Hamandishe ◽  
Petronella T. Saidi ◽  
Venancio E. Imbayarwo-Chikosi ◽  
Tamuka Nhiwatiwa

The objective of the study was to determine the quality and consumer preferences of Nile tilapia (Oreochromis niloticus) from two water bodies with different pollution levels and trophic states. Water quality assessment of the two impoundments was carried out. Fish were sampled from hypereutrophic Lake Chivero and oligomesotrophic Lake Kariba for proximate analysis, carcass quality, and sensory evaluation. Conductivity, dissolved oxygen, transparency, ammonia, total phosphates, reactive phosphates, and chlorophyll a were significantly different (P<0.05). Fish from Lake Kariba had significantly higher condition factors and lower fillet yields, while fish of length 10-20 cm, from Lake Chivero had significantly more fat. Lake Chivero fish were darker, greener, and less red while Lake Kariba fish were lighter, less green, and less red. Raw fish from Lake Kariba were significantly firmer, were less green and redder, had a stronger typical fish odour, and were more acceptable than Lake Chivero fish. Lake Chivero fish had a stronger foreign fish odour than their counterparts. No statistical differences were observed on fillet cooking losses, cooked fish sensory parameters, and acceptability. The fish could, however, not be safe due to possibility of toxins in water and feed (algae) which may bioaccumulate and ultimately affect other attributes of fish quality.


2021 ◽  
Vol 60 ◽  
pp. 125954
Author(s):  
Yasushi Shoji ◽  
Hyerin Kim ◽  
Takahiro Kubo ◽  
Takahiro Tsuge ◽  
Tetsuya Aikoh ◽  
...  

2018 ◽  
Vol 120 (9) ◽  
pp. 2017-2032 ◽  
Author(s):  
Hatairat Sakolwitayanon ◽  
Peeyush Soni ◽  
Jourdain Damien

Purpose The purpose of this paper is to explore key attributes of organic rice that consumers use in the process of choosing organic rice, and to segment organic rice market in Bangkok. Moreover, the study tends to identify the best clustering techniques, between latent class cluster analysis (LCCA) and traditional cluster analysis (CA), for precise segmentation. Design/methodology/approach Best–worst scaling (BWS) method was applied to measure the level of relative importance of organic rice attributes. Then, LCCA and CA techniques were applied to recognize market segmentation. Finally, homogeneity and heterogeneity of the resulting clusters were determined to compare performance of the two clustering techniques. Findings The LCCA technique was identified better than the CA in classification of consumers. According to LCCA solution, the organic rice market in Bangkok (Thailand) consisted of six distinct clusters, which can be grouped into three categories based on consumers’ profile. Organic rice consumer categories were identified as “Art of eating” and “Superior quality seeker” clusters focusing on special features and quality of the organic rice; consumer category “Basic concern” cluster heavily relied on organic certification logo and manufacturing information; and other consumer categories were “Price driven,” “Eyes on price” and “Thorough explorer” clusters. Originality/value This study first applies BWS score to examine consumers’ preference for organic rice attributes and segments market, providing results for practical use for retailers, producers and marketers.


2018 ◽  
Vol 30 (1) ◽  
pp. 637-660 ◽  
Author(s):  
Hume Winzar ◽  
Chris Baumann ◽  
Wujin Chu

Purpose This paper aims to introduce the concept of consumer-based brand value (CBBV), a change in the perspective of brand-equity and brand value from one where the brand is considered separately from other brands. The purpose of this paper is threefold: highlighting the theoretical difference between brand equity and brand value (Raggio and Leone, 2007); conceptually linking brand equity with brand value and then with brand competitiveness; and demonstrating a straightforward method for scholars and practitioners to measure brand value and then to forecast and simulate brand competitiveness. Design/methodology/approach On a sample of 190 postgraduate students, the authors apply the conjoint analysis and best-worst scaling to illustrate our CBBV model. Following Keller (1993), the authors operationalise brand equity as the outcome of consumers’ internal mental processes, in the form of brand preference, and show how preferences data can be transformed into estimates of brand value in the form of price premium. Finally, the model allows market share simulation based on manipulation of branding and brand features. Findings The paper is more a conceptual piece, highlighting the distinction between brand equity and brand value. It also demonstrates a relatively new measurement technique for transforming measures of brand equity, in the form of brand preferences, into estimates of brand value. The paper used airlines as a service-provider example, but the technique can be applied to many hospitality and service environments. Research limitations/implications The study demonstrates how brand equity drives brand value via consumer utility, and proposes a CBBV–competitiveness chain. The authors convert individual consumer preference data to brand value with subsequent preference-based market segmentation, and estimate competitiveness in two ways: market share ceteris paribus and price premium for brand indifference. They also demonstrate how market simulation can be performed so that it allows forecasting of competitiveness (market share) based on product attributes that affect brand value. Practical implications The CBBV–competitiveness chain constitutes a (new) mindset in the marketing of hospitality, tourism and other services. The study provides a method to measure and test the components of this model and determine brand competitiveness. It used airlines in the example, but the method can be applied to many different settings such as, for example, hotel management group (Starwood, Accor, Intercontinental, Hilton). The authors show how the method allows for benefit-based market segmentation, market-share forecasting and estimation of price premium. Originality value The CBBV chain provides a conceptual link between brand equity, brand value and brand competitiveness. When equity and related constructs are often conceptualised as relative to competition, they are rarely actually measured in that manner. The study shows how brand equity measured as preferences can be transformed into brand value and competitiveness relative to the competition. The combination of conjoint analysis and best–worst scaling is relatively new to the hospitality and services industries. The authors show that these tools can be applied to these industries without depending on costly software or high-priced consultants.


2021 ◽  
Vol 50 (1) ◽  
pp. 102-111
Author(s):  
N. Aldossari ◽  
M. Al-Mahish

AbstractThis study assesses consumers' preference for food from social media on a sample of 510 respondents from the Eastern region of Saudi Arabia using the Best-Worst Scaling method. The findings of the study conclude that unhealthy and nutrient-poor food items are more preferred than healthy and nutrient-rich food items. The study recommends that the food and drug authority should intervene to increase consumers' awareness about the effect of unhealthy food items by creating social media accounts to warn consumers about the health outcomes of consuming certain unhealthy foods marketed through social media platforms.


Foods ◽  
2019 ◽  
Vol 8 (8) ◽  
pp. 323 ◽  
Author(s):  
Głuchowski ◽  
Czarniecka-Skubina ◽  
Wasiak-Zys ◽  
Nowak

The aim of the study was to evaluate the effect of heat treatment salmon quality using the sous-vide method (57 °C, 20 min and 63 °C, 80 min) in comparison with traditional methods (steam cooking, roasting). The yield of process and sensory quality (sensory profile, consumer liking) and the color and texture of salmon was measured. Salmon processed with the sous-vide method was characterized by a statistically significantly (p ≤ 0.05) higher yield and water content than the samples prepared by steaming and roasting. Statistically higher (p ≤ 0.05) consumer preference for salmon prepared using higher parameters of the sous-vide process (63 °C, 80 min) compared with low parameters (57 °C, 20 min) was stated. Parameters of the sous-vide processing (57 °C, 20 min) have a negative effect on salmon quality. It was observed that as the temperature and time of the process increased, the intensity of the flavor and odor attributes of cooked fish also increased, while the intensity of raw fish, juiciness, tenderness, and softness decreased. The color of salmon also changed. Based on the results, we recommend the following parameters of process in preparing salmon using the sous-vide method: 63 °C for 80 min.


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